Matthew D. Silverman

555 citations
12 papers · 459 indexed · h-index 11
Topics
Cell Adhesion Molecules Research (4 papers)Blood Coagulation and Thrombosis Mechanisms (3 papers)Platelet Disorders and Treatments (2 papers)

In The Last Decade

Matthew D. Silverman

12 papers receiving 440 citations

Peers

Matthew D. Silverman
Comparison fields: 5 of 95
  • Molecular Biology 133
  • Immunology 101
  • Rheumatology 91
  • Ophthalmology 89
  • Oncology 57
Replace Y. Mimura with:
Y. Mimura Japan
M. Brai Italy
Norman T. Felberg United States
François Willermain Belgium
Naveed Akhtar United States
Farhad Salari Iran
Krista Johnson United States
Bryan K. Rutledge United States
Anthony P. Manderson United Kingdom
M. Mandel Israel
Matthew D. Silverman relative to Y. Mimura Japan Y. Mimura's profile →
Citations per field
00.5×9.7×
Y. Mimura · 1×
Citations per year

Countries citing papers authored by Matthew D. Silverman

Since Specialization
Citations

This map shows the geographic impact of Matthew D. Silverman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Matthew D. Silverman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew D. Silverman more than expected).

Fields of papers citing papers by Matthew D. Silverman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew D. Silverman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Matthew D. Silverman. The network helps show where Matthew D. Silverman may publish in the future.

Co-authorship network of co-authors of Matthew D. Silverman

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew D. Silverman. A scholar is included among the top collaborators of Matthew D. Silverman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew D. Silverman. Matthew D. Silverman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 26
2 53
3 14
4 39
5 64
6 77
7 83
8
Cell adhesion molecule expression in cultured human iris endothelial cells.
31
9 3
10 25
11 30
12 14

About Matthew D. Silverman

Matthew D. Silverman is a scholar working on Immunology and Allergy, Hematology and Internal Medicine, having authored 12 papers that have together received 459 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (4 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers) and Platelet Disorders and Treatments (2 papers). The work is most often cited by research in Ophthalmology (89 citations), Immunology and Allergy (40 citations) and Rheumatology (91 citations). Matthew D. Silverman has collaborated with scholars based in United States, Sweden and Canada. Frequent co-authors include Peter I. Lelkes, Alisa E. Koch, David O. Zamora, James T. Rosenbaum, Stephen R. Planck, Gladys E. Lopez, Ramagopal Tumuluri, James T. Rosenbaum, M. Natalie Davis and Ali M. Rad. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Frontiers in Microbiology and American Journal of Physiology-Cell Physiology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026